OPERATE

AI serving the frontline workforce

From real-time optimization to system-level operational twins, Sight Machine OPERATE delivers AI guidance directly to operators, supervisors, and frontline teams — where production actually happens.

For decades, operators have been underserved by digital tools. AI capabilities offer operators unparalleled insight about what to change and what to do now. Equally important, AI offers frontline workers a way to blend experience-based observations and insights with data.  

OPERATE closes this gap by bringing agents directly to the shop floor. From guiding operators on optimal settings to simulating production scenarios to running enterprise-wide digital twins, OPERATE ensures that intelligence is applied where it matters most: in the flow of production.

Core Capabilities
Real-Time Guidance
Agents act as an Operator CoPilot, providing prescriptive recommendations on settings, recipes, and interventions — while keeping people in control of final decisions.
Assisted Manual Workflows
During tasks like changeovers or clean-in-place, agents help operators execute efficiently, digitizing the process as it happens and feeding it back into the data foundation.
Human-in-the-Loop Data Labeling
Operators classify downtime events and anomalies as they occur — generating ground-truth labels that continuously improve AI models, similar to how companies like Scale AI train foundation models.
Continuous Feedback Loop
Every operator action, workflow, and label enriches CONNECT, STRUCTURE, and ANALYZE — creating a virtuous cycle in which the platform learns directly from shop floor experience.
System-Level Operational Twins and Simulation
Live digital twins of lines and plants let supervisors test scenarios, run what-if analyses, and apply AI-driven optimizations safely before acting.
How it works

Merging data and worker insight to guide real-time production decisions

1.
Guide in Real Time
Operators receive AI recommendations on settings, recipes, and workflows while staying in the loop.
2.
Assist and Digitize
Agents support manual tasks like changeovers and clean-in-place, capturing them as digital processes.
3.
Label and Improve
Operator input on downtime and anomalies becomes labeled data that strengthens AI models across the enterprise.
Integrations & Ecosystem

OPERATE works with IT and OT platforms manufacturers already trust.

Through close collaboration and partnerships, Sight Machine is deeply integrated with ecosystems from Microsoft, Siemens, Databricks, and NVIDIA, making real-time industrial data available wherever it’s needed.  
Microsoft Fabric
OPERATE consumes structured gold-level data from STRUCTURE and ANALYZE, applying it in real time to frontline tasks.
NVIDIA Omniverse
Supports immersive digital twins and physics-based simulation for operators and supervisors.
Shop Floor Interfaces
Delivers intelligence via mobile devices, operator stations, and alerts — ensuring AI is present wherever work happens.

From insight to action, 

with humans and AI in the loop

OPERATE puts Agents alongside operators — guiding, assisting, and learning from every task. By digitizing workflows and capturing human feedback as labeled data, OPERATE ensures that every action improves both today’s production and tomorrow’s AI.

OPERATE IN CONTEXT

OPERATE is the fourth layer in the Sight Machine Industrial AI stack.

After ANALYZE equips process engineers and corporate operations with insights, OPERATE delivers prescriptive recommendations to the shop floor.
OPERATE is where intelligence becomes action, and where human feedback strengthens the entire platform.